Sciweavers

680 search results - page 10 / 136
» Mining Frequent Itemsets Using Genetic Algorithm
Sort
View
CORR
2010
Springer
173views Education» more  CORR 2010»
14 years 7 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
FQAS
2006
Springer
99views Database» more  FQAS 2006»
15 years 1 months ago
Partition-Based Approach to Processing Batches of Frequent Itemset Queries
We consider the problem of optimizing processing of batches of frequent itemset queries. The problem is a particular case of multiple-query optimization, where the goal is to minim...
Przemyslaw Grudzinski, Marek Wojciechowski, Maciej...
ICCS
2009
Springer
15 years 4 months ago
Frequent Itemset Mining for Clustering Near Duplicate Web Documents
A vast amount of documents in the Web have duplicates, which is a challenge for developing efficient methods that would compute clusters of similar documents. In this paper we use ...
Dmitry I. Ignatov, Sergei O. Kuznetsov
VLDB
2000
ACM
130views Database» more  VLDB 2000»
15 years 1 months ago
Mining Frequent Itemsets Using Support Constraints
Interesting patterns often occur at varied levels of support. The classic association mining based on a uniform minimum support, such as Apriori, either misses interesting pattern...
Ke Wang, Yu He, Jiawei Han
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
15 years 10 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee